DEVELOPMENT... OpenML
Run
120401

Run 120401

Task 3668 (Supervised Classification) delta_ailerons Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LMT(2)_I20
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9536
Per class
Build CPU time
74.6966
Build memory
2144415531.9871
F measure
0.9373
Per class
Kappa
0.8741
KB relative information score
6234.0923
Mean absolute error
0.0624
Mean prior absolute error
0.4981
Number of instances
7129
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9373
Per class
Predictive accuracy
0.9373
Prior entropy
0.9973
Recall
0.9373
Per class
Relative absolute error
0.1253
Root mean prior squared error
0.4991
Root mean squared error
0.2465
Root relative squared error
0.4939
SciMark benchmark
930.5854